HISTORICALLY,HUNTSMAN process engineers would use their extensive experience and process knowledge to try to understand sensor-generated data.As such,this approach was experience-driven rather than data-driven.The company wanted to fully leverage the captured sensor-generated data by transforming to a data-driven approach.However,doing so first required overcoming two challenges: one related to data skills and one related to workflow.In solving the data skills challenge,the organization had to consider the different analytic skills of its process experts and data scientists.Process experts know about production processes and think in terms of trends and their meaning.In contrast,data scientists do not necessarily have production knowledge and think in terms of algorithms and statistical models.Overcoming the disconnect between these two central problem-solving groups was essential.
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